法医学杂志 ›› 2024, Vol. 40 ›› Issue (3): 261-268.DOI: 10.12116/j.issn.1004-5619.2023.131101

• 论著 • 上一篇    下一篇

表情分析技术在监管场所精神障碍者暴力风险评估中的应用

凌歆迪1,2(), 李豪喆2, 王书剑2, 李雯2, 蔡伟雄1,2()   

  1. 1.复旦大学基础医学院,上海 200032
    2.司法鉴定科学研究院 上海市法医学重点实验室 司法部司法鉴定重点实验室 上海市司法鉴定专业技术服务平台,上海 200063
  • 收稿日期:2023-11-06 发布日期:2024-08-20 出版日期:2024-06-25
  • 通讯作者: 蔡伟雄
  • 作者简介:凌歆迪(1999—),女,硕士研究生,主要从事法医精神病鉴定与研究;E-mail:xindiling@163.com
  • 基金资助:
    国家重点研发计划资助项目(2022YFC3302001);上海市“科技创新行动计划”社会发展科技攻关资助项目(20DZ1200300);国家自然科学基金资助项目(81801881);上海市法医学重点实验室资助项目(21DZ2270800);司法部司法鉴定重点实验室资助项目;上海市司法鉴定专业技术服务平台资助项目;中央级公益性科研院所资助项目(GY2022Z-2)

Application of Facial Expression Analysis Technology in Violence Risk Assessment of Individuals with Mental Disorders in Supervised Settings

Xin-di LING1,2(), Hao-zhe LI2, Shu-jian WANG2, Wen LI2, Wei-xiong CAI1,2()   

  1. 1.Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
    2.Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
  • Received:2023-11-06 Online:2024-08-20 Published:2024-06-25
  • Contact: Wei-xiong CAI

摘要:

目的 探究精神障碍者暴力攻击行为与其情绪之间的联系,评价表情分析技术在监管场所内精神障碍者暴力风险评估中的应用价值,为暴力风险评估提供参考依据。 方法 选取39例监管场所男性精神障碍者,采用修改版外显攻击行为量表,暴力历史、临床、风险评估量表中文版,阳性与阴性症状量表和简明精神病量表,评估受试者的暴力风险、认知功能、精神症状及严重程度,对受试者进行情绪唤醒并记录唤醒前、唤醒后及唤醒过程中的情绪及表情动作单元强度,采用单因素重复测量方差分析比较唤醒前、唤醒后及唤醒过程中的情绪和表情动作单元强度差异,并采用Pearson相关分析计算7种基础情绪表情强度与评估量表评分间的相关性。 结果 受试者的悲伤、惊奇和惧怕3种情绪在不同时间段强度差异具有统计学意义(P<0.05),左内侧眉毛提起动作单元强度在诱发情绪前后强度差异具有统计学意义(P<0.05),愤怒情绪强度在整个研究过程中均与修改版外显攻击行为量表评分呈正相关(P<0.05)。 结论 眉毛提起、眼睑收紧、上眼睑提起等眼部动作单元可以作为识别暴力攻击行为相关的负性情绪(如悲伤、愤怒)的有效动作单元,表情分析技术可作为辅助手段应用于监管场所内精神障碍者的潜在暴力风险评估。

关键词: 法医精神病学, 精神障碍, 情绪, 表情, 暴力风险评估, 监管场所

Abstract:

Objective To explore the association between violent behaviors and emotions in individuals with mental disorders, to evaluate the application value of facial expression analysis technology in violence risk assessment of individuals with mental disorders in supervised settings, and to provide a reference for violence risk assessment. Methods Thirty-nine male individuals with mental disorders in supervised settings were selected, the participant risk of violence, cognitive function, psychiatric symptoms and severity were assessed using the Modified Overt Aggression Scale (MOAS), the Historical, Clinical, Risk Management-Chinese version(HCR-CV), the Positive and Negative Syndrome Scale (PANSS) and the Brief Psychiatric Rating Scale (BPRS). An emotional arousal was performed on the participants and the intensity of their emotions and facial expression action units was recorded before, during and after the arousal. One-way analysis of variance (ANOVA) was used to compare the differences in the intensity of emotions and facial expression action units before, during and after the arousal. Pearson correlation analysis was used to calculate the correlations between the intensity of the seven basic emotional facial expressions and the scores of the assessment scales. Results The intensity difference of sadness, surprise and fear in different time periods was statistically significant (P<0.05). The intensity of the left medial eyebrow lift action unit was found significantly different before and after the emotional arousal (P<0.05). The intensity of anger was positively correlated with the Modified Overt Aggression Scale score throughout the experiment (P<0.05). Conclusion Eye action units such as eyebrow lifting, eyelid tightening and upper eyelid lifting can be used as effective action units to identify sadness, anger and other negative emotions associated with violent behaviors. Facial expression analysis technology can be used as an auxiliary tool to assess the potential risk of violence in individuals with mental disorders in supervised settings.

Key words: forensic psychiatry, mental disorder, emotions, facial expression, violence risk assessment, supervised setting

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